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Image analysis for the automatic phenotyping of Orobanche cumana tubercles on sunflower roots.

A Le RuG IbarcqM- C BonifaceA BaussartS MuñosMireille Chabaud
Published in: Plant methods (2021)
This method is rapid, accurate and low-cost. It allows rapid imaging of numerous rhizotrons over time, and it enables image tracking of all the data with time kinetics. This paves the way toward automatization of phenotyping in rhizotrons that could be used for other root phenotyping, such as symbiotic nodules on legumes.
Keyphrases
  • low cost
  • high throughput
  • high resolution
  • deep learning
  • loop mediated isothermal amplification
  • machine learning
  • big data
  • mass spectrometry
  • single cell
  • artificial intelligence
  • neural network